Bicycle Data Institute


Measuring cyclists in cities has proven to be a tough challenge. How might we use both advanced and basic technologies, as well as existing data sources to provide deeper insights and, real time analysis,

These analytical models allow researchers, data scientists, engineers, and analysts to “produce reliable, repeatable decisions and results” through learning from historical relationships and trends in the data. Our intention is to license this machine learning platform to cities worldwide.